Person
Charlie Snell
An AI researcher who studies test-time compute scaling, finding that additional thinking can allow smaller models to outperform larger models at equal compute budgets.
Timeline (last 90 days)
Oct 30
Charlie Snell and others found in 2024 that under the same total compute, extra thinking can let a small model beat a model 14 times larger, but only if the small model can already occasionally solve these problems.
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